Chattering
The Internet After AI Overview
By: Daniel Arauz Nuñez The internet was closely associated with two promises for its users and for the future it would bring: the free flow of information, and the ability to facilitate communication and social connection across the world. Though far from unrealized, the current landscape of digital world complicates this. Misinformation, division, and extremism […]
AI Won’t Fix Our Social Problems
All are invited to join us for this Community Keynote on 25 September 2025 by Dr. Shion Guha (University of Toronto), entitled, “AI Won’t Fix Our Social Problems: Deconstructing Risk in Predictive Risk Models.” This talk coincides with launch of the Glass Room at London Public Library. For the next four months, members of the […]
Link Round-up
By: By: Daniel Arauz Nuñez Finding Critical Research AI Community Across the Globe One of the challenges resulting from the ongoing surge of interest in AI is finding community and resources outside of tech, “innovation” focused organizations that are often closely aligned with the political and commercial interests of “Big Tech”. The work of critical […]
Universities needs a more honest approach to ChatGPT and academic dishonesty
By: Daniel Arauz Nuñez ChatGPT hasn’t made classrooms worse. It has highlighted problems that students, professors, and teaching assistants know all too well. Last year, the launch of OpenAI’s ChatGPT triggered widespread warnings of the “inevitable” disruption large-language models (LLMs) would cause. Academic assignments was perhaps, among the most straightforward fixations, as students could now […]
The Fantasy of AI Therapy
By: Daniel Arauz Nunez The development of Artificial Intelligence (AI) in the mid-20th century has been long intertwined with fantasies of computer therapists. Joseph Weizenbaum created ELIZA, one of the first chatbots, to explore communication between humans and computers. Against his own expectations and intentions, Weizenbaum was surprised to learn that users enjoyed discussing personal […]
Lofi Automated Recommendation Systems to Work/Study to
By: Daniel Arauz Nunez Algorithmic recommendation systems have, deservingly, been the subject of scrutiny amongst artists and commentators in the music industry. The New Yorker staff writer Kyle Chayka’s new book Filterworld: How Algorithms Flattened Cultureargues that these systems heavily shape the products we buy, and the culture we consume. For Chayka, machine-guided curation stifles […]